短时奇异值分解用于局放信号混合噪声抑制

doi:10.19595/j.cnki.1000-6753.tces.180805

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Abstract Partial discharge (PD) detection for cable termination is a useful method in cable termination diagnosis. To suppress mixed noises in partial discharge signals and preserve more features, a mixed noises suppression method based on short-time singular value decomposition (STSVD) is proposed. Firstly, the singular value decomposition (SVD) is performed on the noisy PD segment obtained by a sliding window along the time axis of analyzed PD signal, and then the mixed noises are eliminated by periodic narrowband noise reconstruction and optimal singular value threshold. The proposed method has been examined on simulated, laboratory obtained and field-detected noisy PD signals, and its results have been compared with adaptive singular value decomposition (ASVD) de-noised results and morphology-wavelet filter (MWF) de-noised results. The results show that: compared with ASVD and MWF de-noising method, the proposed method has better performance, and this method can improve the execution efficiency obviously compared with ASVD when the analyzed data is large, which shows the good application value in practical PD detection.

Key words： Cable termination partial discharge periodic narrowband noise white noise short-time singular value decomposition

Received: 10 May 2018 Published: 14 June 2019

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TM855

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	Zhou Kai
	Huang Yonglu
	Xie Min
	He Min
	Zhao Shilin

Cite this article:

Zhou Kai,Huang Yonglu,Xie Min等. Mixed Noises Suppression of Partial Discharge Signal Employing Short-Time Singular Value Decomposition[J]. Transactions of China Electrotechnical Society, 2019, 34(11): 2435-2443.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180805 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I11/2435

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